Run
515025

Run 515025

Task 3693 (Supervised Classification) fri_c4_100_100 Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.glmboost(2)Learner classif.glmboost from package(s) mboost.
classif.glmboost(2)_familyBinomial
classif.glmboost(2)_mmstop
classif.glmboost(2)_seed1
classif.glmboost(2)_kindMersenne-Twister
classif.glmboost(2)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.6871
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3755
Cross-validation details (10-fold Crossvalidation)
KB relative information score
37.6793
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.31
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6896
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.69
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.69
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6222
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1156
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.242
UserCPU time millis testing
0.218
UserCPU time millis training
1.024